1) Conduct a descriptive analysis of the two variables (include numerical summary information, find and remove outliers, and include plots)

2) With outliers removed, conduct simple regression analysis (indicate which variable you are using as an explanatory & response variable) include correlation, scatter, and residual analysis. Perform transformations if needed. State your conclusion

3) Conduct a 1-way ANOVA analysis. Choose 1 of your 2 variables. Categorize only the 1 variable (categories must be equal in count). Briefly discuss how you've categorized your variable. State your analysis (you do not have to do a multiple comparison test)

4) Select 1 of your variables. Conduct a Time series investigation (include line graph or original data, Do a 3 and 5 unit moving average, include both of these graphs in your write up, discuss trend and seasonality observations)

Month Number
2000M01753
2000M02448
2000M03356
2000M04504
2000M05698
2000M06256
2000M07361
2000M08476
2000M09541
2000M10812
2000M11914
2000M12998
2001M01762
2001M02461
2001M03374
2001M04521
2001M05712
2001M06274
2001M07384
2001M08492
2001M09561
2001M10821
2001M11930
2001M121014
2002M01779
2002M02478
2002M03391
2002M04543
2002M05910
2002M06287
2002M07399
2002M08511
2002M09584
2002M10843
2002M11951
2002M121028
2003M01793
2003M02491
2003M03407
2003M04559
2003M05755
2003M06304
2003M07418
2003M08536
2003M09601
2003M10862
2003M11973
2003M121058
2004M01587
2004M02281
2004M03210
2004M04349
2004M05561
2004M06123
2004M07225
2004M08304
2004M09416
2004M10642
2004M11769
2004M12853
2005M01572
2005M02273
2005M03208
2005M04341
2005M05553
2005M06136
2005M07231
2005M08299
2005M09403
2005M10632
2005M11759
2005M12848
2006M01561
2006M02268
2006M03212
2006M04331
2006M05542
2006M06128
2006M07225
2006M08301
2006M09389
2006M10624
2006M11748
2006M12842